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Record W4400905402 · doi:10.18357/art522037

Erin Morton: "Unsettling Canadian Art History."

2024· article· en· W4400905402 on OpenAlexaffabout
Jessica Ziakin-Cook

Bibliographic record

VenueARTiculate · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsArt historyArtHistorySociologyPsychoanalysisPsychology

Abstract

fetched live from OpenAlex

n 2011, Eve Tuck and K. Wayne Yang published "Decolonization is not a Metaphor," a prescient rallying call to young scholars who no longer identified with the euro-centric, "Old Master'' favouritism of conventional art history. 1 The same year, the College Art Association (CAA) hosted a panel, "The Crisis in Art History'' at which eighteenth-century specialist Patricia Minardi bemoaned the statistics that showed a growing number of students focusing on 19th and 20th-century art and a lessening of interest in the early and pre-modern periods.For Minardi and others on the CAA panel, the crisis they saw was a new favouring of contemporary art among emerging scholars that they ascribed to the economic sway of the art market.2 Erin Morton's 2022 edited volume, Unsettling Canadian Art History , is evidence that Minardi could not have been more wrong about the future of art history.Unsettling Canadian Art History is an unrelenting examination of the omissions, elisions, and mendacities of white settler history that pervade Canadian art history.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.041
Threshold uncertainty score0.298

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0210.013
Scholarly communication0.0080.005
Open science0.0020.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0160.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.190
Teacher spread0.166 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractno

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